Application of deep autoencoder model for structural condition monitoring
MetadataShow full item record
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Damage detection in structures is performed via vibration based structural identification. Modal information, such as frequencies and mode shapes, are widely used for structural damage detection to indicate the health conditions of civil structures. The deep learning algorithm that works on a multiple layer neural network model termed as deep autoencoder is proposed to learn the relationship between the modal information and structural stiffness parameters. This is achieved via dimension reduction of the modal information feature and a non-linear regression against the structural stiffness parameters. Numerical tests on a symmetrical steel frame model are conducted to generate the data for the training and validation, and to demonstrate the efficiency of the proposed approach for vibration based structural damage detection.
Showing items related by title, author, creator and subject.
Determination of the structure of y-alumina using empirical and first principle calculations combined with supporting experimentsPaglia, Gianluca (2004)Aluminas have had some form of chemical and industrial use throughout history. For little over a century corundum (α-Al2O3) has been the most widely used and known of the aluminas. The emerging metastable aluminas, including ...
Whitworth, Anne; Webster, J.; Howard, D. (2015)Background: Verb difficulties in aphasia often co-occur with difficulties specifying argument structure of the sentence. Recent exploration of verb and argument structure deficits has shown dissociations between lexical ...
Catalytic partial oxidation of propylene to acrolein: the catalyst structure, reaction mechanisms and kineticsFansuri, Hamzah (2005)Bismuth molybdates have long been known as active catalysts for selective oxidation of olefins. There are several phases of bismuth molybdates but only three of them are known to be active for partial oxidation of propylene ...